المجموعة البحثية لتطبيقات تحليل البيانات الهندسية

تم إنشاء هذه المجموعة لغرض تنشيط الحراك البحثي في كلية الهندسة. و تهدف المجموعة التي تتكون من عدد من التدريسيين بالتخصصات المختلفة الى ادارة بعض الخطوط البحثية التي تتعلق بتحليل البيانات الهندسية و بعض تطبيقاتها.

  • تشخيص الاعطال في المكائن الدوارة

  • الكشف عن البلي بأقلام القطع

  • دراسة خاصية العزل الصوتي للمواد

  • الكشف عن العيوب في الهياكل    

  • تخمين بينات استهلاك المياه  

  1. Farouk O. Hamdoon*, Hussein R. Al-Bugharbee, and Azzam S. Hameed (2019). “Transient response of rotor system under different startup speed profiles”. Journal of Mechanical Engineering Research and Developments (JMERD). Vol(42), No.(5). PP 163-167.
  2. H. Al-Bugharbee; A. Jubear (2020).“An Experimental Investigation of Enclosure’s Effect on Noise Reduction in Portable Generators (Technical Note)”. IJE TRANSACTIONS B: Applications. Vol. (33), (No). 2, 350-356
  3. Zubaidi, S. L., Ortega-Martorell, S., Al-Bugharbee, H., Olier, I., Hashim, K. S., Gharghan, S. K., … & Al-Khaddar, R. (2020). Urban water demand prediction for a city that suffers from climate change and population growth: gauteng province case study. Water12(7), 1885.
  4. Zubaidi, S. L., Dooley, J., Alkhaddar, R. M., Abdellatif, M., Al-Bugharbee, H., & Ortega-Martorell, S. (2018). A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks. Journal of hydrology561, 136-145.
  5. Zubaidi, S. L., Abdulkareem, I. H., Hashim, K. S., Al-Bugharbee, H., Ridha, H. M., Gharghan, S. K., … & Al-Khaddar, R. (2020). Hybridised Artificial Neural Network Model with Slime Mould Algorithm: A Novel Methodology for Prediction of Urban Stochastic Water Demand. Water12(10), 2692.
  6. Zubaidi, S. L., Kot, P., Alkhaddar, R. M., Abdellatif, M., & Al-Bugharbee, H. (2018, September). Short-term water demand prediction in residential complexes: Case study in Columbia city, USA. In 2018 11th International Conference on Developments in eSystems Engineering (DeSE) (pp. 31-35). IEEE.
  7. Zubaidi, S. L., Al-Bugharbee, H., Muhsin, Y. R., Hashim, K., & Alkhaddar, R. (2020, July). Forecasting of monthly stochastic signal of urban water demand: Baghdad as a case study. In IOP Conference Series: Materials Science and Engineering (Vol. 888, No. 1, p. 012018). IOP Publishing.
  8. Zubaidi, S. L., Al-Bugharbee, H., Ortega-Martorell, S., Gharghan, S. K., Olier, I., Hashim, K. S., … & Kot, P. (2020). A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach. Water12(6), 1628.
  9. Al-Bugharbee, H., & Jubear, A. (2020). An Experimental Investigation of Enclosure’s Effect on Noise Reduction in Portable Generators. International Journal of Engineering33(2), 350-356.
  10. Samaka, H., Al-Bugharbee, H., & Al-Azawy, M. (2020). Redesign the Front Shape of the Sedan Car for Pedestrian Safety and Mitigating Leg Injuries at Accidents Redesign the Front Shape of the Sedan Car for Pedestrian Safety and Mitigating Leg Injuries at Accidents.